To overcome the data validation limits of traditional biodiversity assessment studies, which require the presence of experts in the field, our INAU project was based on computational recording systems (sounds, images) which allow monitoring species along the year. Automated data collection systems provide an overwhelming amount of data, causing problems with data management and analysis. In our project, this was solved by creating a server-based data bank (INAU Pantanal BioData Center) hosted at the Federal University of Mato Grosso. Multiple terabytes of audiovisual data meanwhile have become the standard. New methods of data management, analysis, visualization, and tagging are on the way of development to cope with huge amounts of information. This requires technical changes to hardware and software to allow the data analysis of such important biological data collections at a large scale. Application server units handling big data will be the future to correlate bioacoustics, wildlife images, and environmental metadata. By this, we can broaden our concepts beyond the purely academic level contributing to landscape and conservation monitoring programs. For further details see a recent publication on the importance of audiovisual biological collections (pdf).